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Attentional, RNN-based encoder-decoder models for abstractive summarization have achieved good performance on short input and output sequences.
A learning algorithm for continually running fully recurrent neural networks
Ronald J Williams and David Zipser · 1989
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
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Long short-term memory
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Hedge trimmer: A parse-and-trim approach to headline generation
Bonnie Dorr, David Zajic, and Richard Schwartz · 2003
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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The new york times annotated corpus
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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Neural machine translation by jointly learning to align and translate
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Improving the estimation of word importance for news multi-document summarization-extended technical report
Kai Hong and Ani Nenkova · 2014
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Adam: A method for stochastic optimization
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The stanford corenlp natural language processing toolkit
Christopher D Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, and David McClosky · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Detecting information-dense texts in multiple news domains
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom · 2015
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System combination for multi-document summarization
Kai Hong, Mitchell Marcus, and Ani Nenkova · 2015
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Identification and characterization of newsworthy verbs in world news
Benjamin Nye and Ani Nenkova · 2015
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Sequence level training with recurrent neural networks
Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba · 2015
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A neural attention model for abstractive sentence summarization
The role of discourse units in near-extractive summarization
Junyi Jessy Li, Kapil Thadani, and Amanda Stent · 2016
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Chia-Wei Liu, Ryan Lowe, Iulian V Serban, Michael Noseworthy, Laurent Charlin, and Joelle Pineau · 2016
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Çağlar Gülçehre, Bing Xiang, et al · 2016
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Reward augmented maximum likelihood for neural structured prediction
Mohammad Norouzi, Samy Bengio, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans, et al · 2016
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Alexander M Rush, Sumit Chopra, and Jason Weston · 2015
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Improving multi-step prediction of learned time series models
Arun Venkatraman, Martial Hebert, and J Andrew Bagnell · 2015
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Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
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Distraction-based neural networks for modeling documents
Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, and Hui Jiang · 2016
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Long short-term memory-networks for machine reading
Jianpeng Cheng, Li Dong, and Mirella Lapata · 2016
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Abstractive sentence summarization with attentive recurrent neural networks
Sumit Chopra, Michael Auli, Alexander M Rush, and SEAS Harvard · 2016
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Learning-based single-document summarization with compression and anaphoricity constraints
Greg Durrett, Taylor Berg-Kirkpatrick, and Dan Klein · 2016
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Ofir Press and Lior Wolf · 2016
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Self-critical sequence training for image captioning
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Temporal attention model for neural machine translation
Baskaran Sankaran, Haitao Mi, Yaser Al-Onaizan, and Abe Ittycheriah · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al · 2016
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Efficient summarization with read-again and copy mechanism
Wenyuan Zeng, Wenjie Luo, Sanja Fidler, and Raquel Urtasun · 2016
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Tying word vectors and word classifiers: A loss framework for language modeling
Hakan Inan, Khashayar Khosravi, and Richard Socher · 2017
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Pointer sentinel mixture models
Stephen Merity, Caiming Xiong, James Bradbury, and Richard Socher · 2017
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Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou · 2017
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning · 2017
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